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CLC number: TN919.8

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Received: 2005-12-02

Revision Accepted: 2006-03-03

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Journal of Zhejiang University SCIENCE A 2006 Vol.7 No.5 P.919~926

10.1631/jzus.2006.A0919


Video classification for video quality prediction


Author(s):  Liu Yu-xin, Kurceren Ragip, Budhia Udit

Affiliation(s):  Sun Labs, Sun Microsystems Inc., Menlo Park, California 94025, USA; more

Corresponding email(s):   zoeliu@ieee.org, ragip.kurceren@ieee.org, udit@mobilygen.com

Key Words:  Video classification, Video quality, No-Reference (NR), Quality of Service (QoS), Video streaming


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Liu Yu-xin, Kurceren Ragip, Budhia Udit. Video classification for video quality prediction[J]. Journal of Zhejiang University Science A, 2006, 7(5): 919~926.

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Abstract: 
In this paper we propose a novel method for video quality prediction using video classification. In essence, our approach can serve two goals: (1) To measure the video quality of compressed video sequences without referencing to the original uncompressed videos, i.e., to realize no-Reference (NR) video quality evaluation; (2) To predict quality scores for uncompressed video sequences at various bitrates without actually encoding them. The use of our approach can help realize video streaming with ideal quality of Service (QoS). Our approach is a low complexity solution, which is specially suitable for application to mobile video streaming where the resources at the handsets are scarce.

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Reference

[1] Cheng, H., Lubin, J., 2005. Reference-Free Objective Quality Metrics for MPEG Coded Video. Proceedings of SPIE International Conference on Human Vision and Electronic Imaging X, 5666:160-167.

[2] ITU-T H.264, 2003. Advanced Video Coding for Generic Audiovisual Services.

[3] Patent application No. 09/431,160, 1999. In-service Video Quality Measurement System Using an Arbitrary Bandwidth Ancillary Data Channel. http://www.its.bldrdoc.gov/n3/video/vqmdownload_US.htm.

[4] Patent Number 5,446,492, 1995. A Perception-based Video Quality Measurement System.

[5] Patent Number 5,596,364, 1997. Perception-based Audio-visual Synchronization Measurement System.

[6] Tan, S.H., Pang, K.K., Ngan, K.N., 1996. Classified perceptual coding with adaptive quantization. IEEE Trans. on Circuits and Systems for Video Technology, 6(4):375-388.

[7] Wang, Z., Sheikh, H.R., Bovik, A.C., 2003. Objective video quality assessment. In: Furht, B., Marqure, O. (Eds.), The Handbook of Video Databases: Design and Applications. CRC Press, p.1041-1078. Available from http://www.cns.nyu.edu/~zwang/files/publications.html.

[8] Zhang, Q., Zhu, W.W., Zhang, Y.Q., 2005. End-to-end QoS for video delivery over wireless Internet. Proceedings of the IEEE, 93(1):123-134.

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